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Özyurt, Hacer; Özyurt, Özcan – Eurasian Journal of Educational Research, 2015
Problem Statement: Learning-teaching activities bring along the need to determine whether they achieve their goals. Thus, multiple choice tests addressing the same set of questions to all are frequently used. However, this traditional assessment and evaluation form contrasts with modern education, where individual learning characteristics are…
Descriptors: Probability, Adaptive Testing, Computer Assisted Testing, Item Response Theory
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Brandenburg, Dale C.; Forsyth, Robert A. – Educational and Psychological Measurement, 1974
Descriptors: Comparative Analysis, Goodness of Fit, Item Sampling, Models
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Gross, Alan L. – Psychometrika, 1973
Expressions for the expected value, density, and distribution function (DF) of GS (gain from selection) are derived and studied in terms of sample size, number of predictors, and the prior distribution assigned to the population multiple correlation. (Author/RK)
Descriptors: Academic Achievement, College Admission, Item Sampling, Predictive Measurement
Sachar, Jane – 1976
A test of mental arithmetic skills was developed and normed for children in grades one to six. Statistical techniques were used to predict the probability correct for each item and to rank order the items. Students in a given grade took only one level of the test and inferences were made of their performance on those tests which they did not take.…
Descriptors: Arithmetic, Elementary Education, Elementary School Students, Grade Equivalent Scores
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van der Linden, Wim J. – Applied Psychological Measurement, 1979
The restrictions on item difficulties that must be met when binomial models are applied to domain-referenced testing are examined. Both a deterministic and a stochastic conception of item responses are discussed with respect to difficulty and Guttman-type items. (Author/BH)
Descriptors: Difficulty Level, Item Sampling, Latent Trait Theory, Mathematical Models
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Misanchuk, Earl R. – 1978
Multiple matrix sampling of three subscales of the California Psychological Inventory was used to investigate the effects of four variables on error estimates of the mean (EEM) and variance (EEV). The four variables were examinee population size (600, 450, 300, 150, 100, and 75); number of subtests, (2, 3, 4, 5, 6, and 7), hence the number of…
Descriptors: Adults, Analysis of Variance, Error of Measurement, Item Sampling
Kriewall, Thomas E.; Hirsch, Edward – 1969
As an alternative to a classical test theory basis for criterion-referenced test construction, it is proposed that a strict item-sampling model be used. The computer's role in such a model is outlined. The assumptions of the model are carefully defined and its properties reviewed. The relationship between mastery criteria and such sampling plans…
Descriptors: Arithmetic, Behavioral Objectives, Computer Assisted Instruction, Criterion Referenced Tests
Kalisch, Stanley J. – 1974
A tailored testing model employing the beta distribution, whose mean equals the difficulty of an item and whose variance is approximately equal to the sampling variance of the item difficulty, and employing conditional item difficulties, is proposed. The model provides a procedure by which a minimum number of items of a test, consisting of a set…
Descriptors: Adaptive Testing, Branching, Computer Oriented Programs, Decision Making